Case studies
Custom knowledge systems, 2025–2026
Four engagements from the years Mash spent building knowledge systems for technical revenue teams — reading each company’s scattered sources and making them answer questions reliably.
From Mash’s knowledge-systems era, 2025 to early 2026. Before Mash became a Personal Relationship Manager, it built custom knowledge systems for a small number of technical B2B revenue teams: bespoke pipelines into each company’s own scattered sources, and answers delivered where those teams already worked. This is a record of that work.
It is not the product on sale today. What carried over is the engineering underneath — reading years of messy, scattered history and making it answer questions reliably. Mash now does that for the people in your own network instead of for a company’s product documentation. See what Mash is now.
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Rootly accelerates sales velocity and customer response times with Mash
Answers in Slack instead of a queue behind two subject-matter experts. Read the case study → -
Mash answered 65% of Triple Whale’s complex product and integration questions
Six knowledge tools, thirty minutes a question, and three or more people interrupted to answer it. Read the case study → -
Nevvon powers faster, more confident GTM execution with Mash
State-by-state regulatory answers, on the call rather than after it. Read the case study → -
Mash built Spot AI a knowledge system that could read video and images
The questions arrived as screenshots. The answers lived in video. Read the case study →
Mash is a Personal Relationship Manager now: it reads back through your years of email, calls and notes, and briefs you before every conversation. See what it does, or apply for early access.